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Identification of Ganoderma disease resistance loci using natural field infection of an oil palm multiparental population

Tisne Sébastien, Pomies Virginie, Riou Virginie, Syahputra Indra, Cochard Benoît, Denis Marie. 2017. Identification of Ganoderma disease resistance loci using natural field infection of an oil palm multiparental population. G3 - Genes Genomes Genetics, 7 : pp. 1683-1692.

Journal article ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
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Url - jeu de données : http://www.g3journal.org/content/suppl/2017/05/18/g3.117.041764.DC1 / Url - éditeur : http://www.g3journal.org/content/7/6/1683

Quartile : Q2, Sujet : GENETICS & HEREDITY

Abstract : Multi-parental populations are promising tools for identifying quantitative disease resistance loci. Stem rot caused by Ganoderma boninense is a major threat to palm oil production, with yield losses of up to 80% prompting premature replantation of palms. There is evidence of genetic resistance sources, but the genetic architecture of Ganoderma resistance has not yet been investigated. This study aimed to identify Ganoderma resistance loci using an oil palm multi-parental population derived from nine major founders of ongoing breeding programs. A total of 1200 palm trees of the multi-parental population was planted in plots naturally infected by Ganoderma, and their health status was assessed biannually over 25 yr. The data were treated as survival data, and modeled using the Cox regression model, including a spatial effect to take the spatial component in the spread of Ganoderma into account. Based on the genotypes of 757 palm trees out of the 1200 planted, and on pedigree information, resistance loci were identified using a random effect with identity-by-descent kinship matrices as covariance matrices in the Cox model. Four Ganoderma resistance loci were identified, two controlling the occurrence of the first Ganoderma symptoms, and two the death of palm trees, while favorable haplotypes were identified among a major gene pool for ongoing breeding programs. This study implemented an efficient and flexible QTL mapping approach, and generated unique valuable information for the selection of oil palm varieties resistant to Ganoderma disease.

Mots-clés Agrovoc : Ganoderma, Résistance aux maladies, Héritabilité génotypique, Gène, Analyse quantitative, Analyse de variance, Variation génétique, Méthode statistique, Elaeis guineensis, Phénotype

Mots-clés géographiques Agrovoc : République démocratique du Congo, Côte d'Ivoire

Mots-clés libres : Plant disease, Multiparental population, Quantitative disease resistance loci, Survival analysis, Identity-bydescent, MPP

Classification Agris : H20 - Plant diseases
F30 - Plant genetics and breeding

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

  • Tisne Sébastien, CIRAD-BIOS-UMR AGAP (FRA)
  • Pomies Virginie, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-5481-5120
  • Riou Virginie, CIRAD-BIOS-UMR AGAP (FRA)
  • Syahputra Indra, SOCFINDO (IDN)
  • Cochard Benoît, PalmElit (FRA)
  • Denis Marie, CIRAD-BIOS-UMR AGAP (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/584591/)

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